Summary of Consciousness As a Logically Consistent and Prognostic Model Of Reality, by Evgenii Vityaev
Consciousness as a logically consistent and prognostic model of reality
by Evgenii Vityaev
First submitted to arxiv on: 10 Dec 2023
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed model demonstrates how the human brain can reflect external world causal relationships in a logically consistent and prognostic manner, resulting in consciousness. The paper resolves statistical ambiguity by providing a formal probabilistic maximally specific rules framework. It’s suggested that the brain makes all possible inferences from these causal relationships, leading to an unambiguous inference property. This enables the formation of a consistent model of the perceived world. Cyclic inter-predictable properties can create fixed points, which are explored through John St. Mill’s “natural” classification concept. The paper also examines Eleanor Rosch and Bob Rehder’s notions of “natural” categories and causal models, demonstrating how fixed points formalize these concepts. The integrated information theory by G. Tononi is applied to brain processes, providing high accuracy for object identification. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The research shows how our brains can understand the world around us in a logical way. It’s like solving a puzzle! The team created a special model that helps our brains make sense of things and figure out what’s happening. They found that when we look at objects, our brains use certain rules to categorize them into groups, kind of like how we put toys away in boxes. This can help us identify things more accurately. It’s an important finding because it could help us understand how our brains work better. |
Keywords
» Artificial intelligence » Classification » Inference
